| DECLARATION | 第6-7页 |
| CERTIFICATION | 第7-8页 |
| DEDICATION | 第8-9页 |
| ACKNOWLEDGEMENT | 第9-10页 |
| CONTENTS | 第10-13页 |
| ABBREVIATIONS | 第13-14页 |
| ENGLISH ABSTRACT | 第14页 |
| CHINESE ABSTRACT | 第18-22页 |
| Chapter I. Introduction and literature review | 第22-71页 |
| I. Introduction | 第22-27页 |
| 1.1.1 Terminology for the description of developmental stages of horticultural crops | 第24-26页 |
| 1.1.2 How is maturity determined? | 第26-27页 |
| 1.2 What is quality and how can we measure it? | 第27-31页 |
| 1.2.1 Food principal quality factors | 第27-28页 |
| 1.2.2 Textural and flavor quality | 第28-31页 |
| 1.2.2.1 Textural quality | 第28-29页 |
| 1.2.2.2 Flavor quality | 第29-30页 |
| 1.2.2.3 Factors influencing quality | 第30页 |
| 1.2.2.4 Quality maintenance of vegetables for processing is aided by the following procedures: | 第30-31页 |
| 1.3 Freezing and Refrigeration | 第31-32页 |
| 1.3.1 Storage conditions | 第31-32页 |
| 1.3.1.1 Temperature | 第31-32页 |
| 1.3.1.2 Relative humidity | 第32页 |
| 1.4 Some non- destructive technologies for fruit quality assessment background and application | 第32-59页 |
| 1.4.1 Electronic nose technology: background and application in fruit quality assessment | 第32-45页 |
| 1.4.1.1 Electronic nose overview | 第32-34页 |
| 1.4.1.2 Sensors | 第34-36页 |
| 1.4.1.3 Statistical analysis techniques used in electronics nose analysis | 第36-37页 |
| 1.4.1.4 Statistical pattern analysis techniques used in electronics nose analysis | 第37-40页 |
| 1.4.1.5 Potential and applications of the technology | 第40-45页 |
| 1.4.2 Impulse Response Technique: background and application in fruit quality assessment | 第45-49页 |
| 1.4.2.1 Principals impact test | 第46-49页 |
| 1.4.3 Visible/Near-Infrared Spectroscopy (Vis/NIRS): Background and application in fruit quality assessment | 第49-59页 |
| 1.4.3.1 Vis/NIRS calibration methods analysis | 第51-57页 |
| 1.4.3.2 ASTM standard procedures for NIRS during data collection and calibration (ASTM 1994) | 第57页 |
| 1.4.3.3 Vis/NIRS applications to agricultural products | 第57-59页 |
| 1.5 Fruit firmness by puncture test | 第59-61页 |
| 1.6 Citrus taxonomy, origin, distribution, variety and climatic adaptability | 第61-66页 |
| 1.6.1 Taxonomy | 第61-62页 |
| 1.6.2 Mandarin origin and distribution | 第62页 |
| 1.6.3 Mandarin variety | 第62-63页 |
| 1.6.4 Mandarin climatic adaptability | 第63页 |
| 1.6.5 Areas of citric cultivation in China | 第63页 |
| 1.6.6 Actual situation of citrus in China | 第63-65页 |
| 1.6.7 Mandarin characteristics and morphology | 第65-66页 |
| 1.7 Tomato crop history and development | 第66-69页 |
| 1.7.1 Tomatoes quality characteristics and criteria | 第67-68页 |
| 1.7.2 Actual situation of tomato around the word and China | 第68-69页 |
| 1.8 Investigation aim and objectives | 第69-71页 |
| Chapter IIMeasurement of basic parameters | 第71-98页 |
| II. Introduction | 第71-98页 |
| 2.1 Materials and methods | 第71-78页 |
| 2.1.1 Experimental procedure | 第71页 |
| 2.1.2 Plant material | 第71-73页 |
| 2.1.3 Mandarin and tomato storage conditions | 第73-74页 |
| 2.1.3.1 Mandarin storage conditions | 第73-74页 |
| 2.1.3.2 Tomato storage conditions | 第74页 |
| 2.1.4 Fruit parameters measurement | 第74-78页 |
| 2.2 Results and analysis | 第78-96页 |
| 2.2.1 Mandarin quality indices behavior during its ripening on the tree | 第78-83页 |
| 2.2.2 Mandarin quality indices behavior during its storage | 第83-90页 |
| 2.2.3 Tomato quality indices behavior during its storage | 第90-96页 |
| 2.3 General discussion | 第96-97页 |
| 2.4 Conclusions | 第97-98页 |
| Chapter III Fuit quality evaluation using Electronic Nose technique | 第98-127页 |
| III. Introduction | 第98-127页 |
| 3.1 Materials and methods | 第99-101页 |
| 3.1.1 Electronic nose data acquisition and analysis | 第99-101页 |
| 3.2 Results and discussion | 第101-123页 |
| 3.2.1 Electronic nose response to fruit aroma | 第101页 |
| 3.2.2 Room air control | 第101-103页 |
| 3.2.3 Effect of the mandarin fruit mass in the electronic nose signal | 第103-105页 |
| 3.2.4 Study of electronic nose technique potential to monitoring fruit maturity states at harvest time 83 3.2.4.1 Electronic nose technique to fruit maturity monitoring at harvest time using Principal component analysis (PCA) and Linear Discriminant Analy | 第105-111页 |
| 3.2.5 Electronic nose technique to fruit maturity monitoring during storage or shelf live | 第111-119页 |
| 3.2.5.1 Electronic nose technique to monitoring mandarin maturity states during storage | 第111-116页 |
| 3.2.5.2 Electronic nose technique to monitoring tomato maturity states during storage time | 第116-119页 |
| 3.2.6 Construction of the prediction model for each fruit quality characteristics on the base of nose signal response (relative conductivity) | 第119-123页 |
| 3.2.6.1 Choice of the best models | 第120-121页 |
| 3.2.6.2 Prediction of fruit quality characteristics | 第121-123页 |
| 3.3 General discussion | 第123-125页 |
| 3.4 Conclusions | 第125-127页 |
| Chapter IV. Fruit quality evaluation using impulse response technique | 第127-158页 |
| IV. Introduction | 第127-158页 |
| 4.1. Materials and methods | 第128-130页 |
| 4.1.1 Equipment and procedures | 第128-130页 |
| 4.1.1.1 Experimental Equipment | 第128-129页 |
| 4.1.1.2 Measurements of acoustic signals response | 第129-130页 |
| 4.2 Results and discussion | 第130-154页 |
| 4.2.1 Repeatability of the measurement system during fruit internal resonant frequency determination | 第130-132页 |
| 4.2.2 Impulse Response Technique potential to mandarin maturity monitoring at different harvest time | 第132-134页 |
| 4.2.2.1 Mandarin dominant frequency behavior during different maturity states on the tree | 第132页 |
| 4.2.2.2 Mandarin firmness behavior during different maturity states on the tree | 第132-134页 |
| 4.2.3 Impulse Response Technique to fruit during different maturity states in storage | 第134-141页 |
| 4.2.3.1 Impulse Response Technique to mandarin during different maturity states in storage | 第134-138页 |
| 4.2.3.2 Impulse Response Technique to tomato during different maturity states in storage | 第138-141页 |
| 4.2.4 Correlation among acoustic parameters of the fruit and its quality indices | 第141-151页 |
| 4.2.4.1 Correlation among acoustic parameters of the "Satsuma" mandarin and its quality ir dices | 第141-146页 |
| 4.2.4.2 Correlation among acoustic parameters of the tomato and its quality indices | 第146-151页 |
| 4.2.5 Construction of the calibration and prediction models of each fruit quality characteristics on the base of acoustic signal response | 第151-154页 |
| 4.2.5.1 Data analysis | 第151-152页 |
| 4.2.5.2 Choice of the model | 第152页 |
| 4.2.5.3 Prediction of quality characteristics using acoustic signal | 第152-154页 |
| 4.3 General discussion | 第154-157页 |
| 4.4 Conclusions | 第157-158页 |
| Chapter V. Fruit quality parameters estimation using Visible /NIR Spectroscopy technique 137 V. Introduction | 第158-171页 |
| 5.1 Materials and method | 第160-164页 |
| 5.1.1 Reflectance measurements analysis | 第160-162页 |
| 5.1.2 Processing of the optical data | 第162-164页 |
| 5.2 Results and discussion | 第164-169页 |
| 5.2.1 Influence of the mandarin ripeness on the reflectance spectra | 第164页 |
| 5.2.2 NIRS response to fruit absorption | 第164-165页 |
| 5.2.3 Construction of the calibration and prediction models of each fruit quality characteristics on the base of Vis/NIRS response | 第165-169页 |
| 5.2.3.1 Choice of the best models | 第165-166页 |
| 5.2.3.2 Prediction of individual quality characteristics | 第166-169页 |
| 5.3 Conclusions | 第169-171页 |
| Chapter VI. General discussion | 第171-176页 |
| 6.1 General discussion about the potential of three non-destructive techniques to predict the fruit quality parameter | 第171-174页 |
| 6.2 General discussion about the potential of Electronic Nose and Impulse Response Technique to monitoring the fruit (mandarin and tomato) ripeness process | 第174-176页 |
| Chapter VII. General conclusions and recommendations | 第176-177页 |
| References | 第177-191页 |
| Appendix | 第191-207页 |
